A lot. We derive common and conflicting predictions from models in which agents face information constraints and then assess their validity using surveys of consumers, firms, central bankers, and professional forecasters. We document that mean forecasts fail to completely adjust on impact to shocks, leading to statistically and economically significant deviations from the null of full information. The dynamics of forecast errors after shocks are consistent with the predictions of models with information rigidities. The conditional responses of forecast errors and disagreement among agents can also be used to differentiate between some of the most prominent models of information rigidities.

Why did Finland experience, in 1991–1993, the deepest recession observed in an industrialized country since the 1930s? Using a dynamic general equilibrium model with labor frictions, we argue that the collapse of the Soviet-Finnish trade was a major contributor to the contraction. Finland's experience mirrors that of the transition economies of Eastern Europe, which suffered similar deep recessions coupled with institutional changes. By focusing on the Finnish case, we isolate the effects of the Finnish-Soviet trade collapse and shed new light on the sources of recessions in transition economies.